Hi, I'm
Jonathan
Computer Science Student & AI/ML Researcher
I study CS at Stanford. I'm interested in all aspects of AI (NLP, computer vision, agent workflows, etc.) and am particularly interested in healthcare applications. More broadly, I also enjoy exploring full-stack development and quantitative finance. I'm also a certified hooper (kind of) and would personally rank myself among the top pickleballers west of the Mississippi. Also find me on the following!
experience
What I've been up to.
Accenture
LLM Full-stack Engineering Intern
San Francisco, CA
Working on agents for enterprise workflow automation at Accenture's Center for Advanced AI.
Stanford Medical / Children's National Hospital
AI/ML Research Assistant
Stanford, CA / Washington, DC
Develop and lead research projects ranging from computer vision for ultrasound imaging to LLM applications for patient outcome prediction.
Blueprint Capital / Blueprint Talent Group
Investment Committee Member
Chicago, IL
Lead startup diligence and facilitate investment decisions for VC fund. Developed investment theses, diligence framework, and fund primer.
Stanford Consulting
Vice President
Stanford, CA
Arrange team composition and source cases with primarily Fortune 500 companies and PE megafunds. Provide strategic guidance on AI-centered products and investments (gen. AI, computer vision, and LLM-reasoning focused research).
Sparx
Head of Partnerships (Founding Team)
New York, NY
Led partnerships and business development for a VC-backed fintech/insurtech startup ($3M+ seed round).
Finalyze Capital LLC
Quantitative Trading Intern
Chicago, IL
Developed and backtested profitable trading algorithms across multiple asset classes.
Awards & Publications
🏆Awards & Honors
- ACT: 36 (composite)
- SAT Math II: 800
- APs (all 5s): Calc BC, Stats, CS, Macro, Micro, English Lang, Comp Gov, NSL Gov, World History
📚Publications & Posters
Technical Skills
Programming Languages
AI/ML Frameworks
Tools & Platforms
projects
A variety of projects I've worked on while trying to learn my passions. You'll find a mix of healthcare AI, computer vision, and web development here, but there isn't a project here that I didn't love devoting many, many hours into.
Laser Lithotripsy Debris Sizer
Developed a model to conduct size estimations of remaining debris post-operation from laser lithotripsy of kidney stones. Constructed a combination of multiple DCNN models to conduct segmentation and sizing of stone debris, detecting fragments over a specified threshold. Currently being deployed to Stanford Medical Urology Department and undergoing further testing for journal publication.
Agent Patho
Engineered a multi-step agent to diagnose patients based on symptoms and demographic factors. Optimized the agent's decision-making process by incorporating symptom prioritization algorithms and demographic weighting for improved diagnostic accuracy. Tested the agent with real-world datasets to validate performance and ensure reliable, interpretable outcomes.
Email Drafter
AI-powered email drafting application for personalized outreach to speakers as part of my healthcare leadership TA position. Generates invitation emails using OpenAI API and web search integration. Built with React frontend and FastAPI backend, deployed on Vercel and Render.
Daily Digest
Automated daily financial digest that provides market insights, economic indicators, and investment opportunities. Updated daily with the latest market analysis and trends.
3D Hand Reconstruction with Gaussian Splatting
Developed a novel method for 3D human hand reconstruction from multi-view data by combining 3D Gaussian splatting with a deep implicit anatomical prior learned from the MANO dataset. The approach represents each hand as a set of Gaussian primitives, constrained by a neural network trained on real hand scans to ensure anatomical plausibility. This hybrid framework enables efficient, accurate, and anatomically coherent hand reconstructions, suitable for applications in AR/VR, robotics, and graphics. The method outperforms baseline approaches by integrating model-based priors with data-driven refinement, and is validated on high-resolution multi-view datasets.
Agent Simulation Investing
Interactive agent-based simulation platform for testing and optimizing investment strategies. Run market simulations and strategy tests directly in your browser!
Interested in working together or want to see more of my work?
Get In Touchget in touch
Feel free to reach out!